Job Title: Chief Agentic Systems Architect

Location: Remote

Type: Contract | US Shift

ROLE OVERVIEW

We are hiring a Chief Agentic Systems Architect to transform a 10+ year legacy codebase into a high‑velocity, agent‑operable architecture. This role sits at the intersection of software architecture, AI‑agent orchestration, and engineering governance. You will design system patterns, MCP interfaces, and cognitive context layers that allow LLMs and autonomous agents to safely refactor, test, and ship production code with minimal human intervention.

WHAT YOU’LL DO

1. AGENT‑OPERABLE SYSTEM ARCHITECTURE

- Decompose legacy monoliths into agent‑readable, modular systems with strict boundaries and single responsibility
- Lead incremental modernization using the Strangler Pattern, wrapping legacy logic in contemporary, contract‑driven interfaces
- Enforce SOLID principles, Dependency Injection, and Hexagonal Architecture to ensure deterministic AI execution and low regression risk

2. AGENTIC FRAMEWORK & MCP LEADERSHIP

- Architect and maintain the agent context layer: standardized Skills, Rules, and Commands for AI‑driven engineering workflows
- Build and operate Model Context Protocol (MCP) servers exposing legacy APIs, services, and databases as typed, secure, AI‑consumable tools




- Own contract‑first API design as the primary interface between human intent and autonomous agent execution

3. ENGINEERING GOVERNANCE & AI QUALITY CONTROL

- Act as architectural gatekeeper for AI‑generated pull requests, ensuring scalability, security, and long‑term maintainability
- Mandate test‑driven development (TDD) and characterization testing to preserve legacy behavior during refactoring
- Monitor and optimize agentic reasoning loops to balance cost, speed, and architectural integrity

WHAT WE’RE LOOKING FOR

- 15+ years in software architecture, platform engineering, or technical leadership
- Proven experience modernizing large, undocumented legacy systems
- Deep hands‑on expertise with TypeScript, .NET, and Node.js
- Strong background in API design, distributed systems, and modular architectures
- Practical experience with agentic development, MCP, LLM tooling, or AI‑assisted engineering
- Bias toward clean code, deterministic systems, and production‑grade AI

NICE TO HAVE

- Experience with remote‑first or globally distributed teams
- Background in SaaS transformations, scale‑ups, or private equity-backed environments
- Comfort operating in high‑ambiguity, high‑ownership settings

Skills:- TypeScript, .NET, NodeJS (Node.js), Generative AI (GenAI) and Agentic AI

📌 Chief Agentic Systems Architect (India)
🏢 FAiHr
📍 India